Please use this identifier to cite or link to this item:
https://ahro.austin.org.au/austinjspui/handle/1/19561
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Mooi, Jennifer K | - |
dc.contributor.author | Wirapati, P | - |
dc.contributor.author | Asher, R | - |
dc.contributor.author | Lee, C K | - |
dc.contributor.author | Savas, P S | - |
dc.contributor.author | Price, T J | - |
dc.contributor.author | Townsend, A | - |
dc.contributor.author | Hardingham, J | - |
dc.contributor.author | Buchanan, D | - |
dc.contributor.author | Williams, D | - |
dc.contributor.author | Tejpar, S | - |
dc.contributor.author | Mariadason, John M | - |
dc.contributor.author | Tebbutt, Niall C | - |
dc.date | 2018-09-21 | - |
dc.date.accessioned | 2018-10-11T02:50:06Z | - |
dc.date.available | 2018-10-11T02:50:06Z | - |
dc.date.issued | 2018-11-01 | - |
dc.identifier.citation | Annals of oncology : official journal of the European Society for Medical Oncology 2018; 29(11): 2240-2246 | en |
dc.identifier.uri | https://ahro.austin.org.au/austinjspui/handle/1/19561 | - |
dc.description.abstract | The Consensus Molecular Subtypes (CMS) is a transcriptome-based classification of colorectal cancer (CRC) initially described in early-stage cohorts, but the associations of CMS with treatment outcomes in the metastatic setting are yet to be established. This study aimed to evaluate the prognostic impact of CMS classification and its predictive effects for bevacizumab benefit in metastatic CRC by correlative analysis of the AGITG MAX trial. The MAX trial previously reported improved progression-free survival (PFS) for the addition of bevacizumab (B) to chemotherapy (capecitabine (C) +/- mitomycin (M)). Archival primary tumours from 237 patients (50% of trial population) underwent gene expression profiling and classification into CMS groups. CMS groups were correlated to PFS and overall survival (OS). The interaction of CMS with treatment was assessed by proportional hazards model. The distribution of CMS in MAX were: CMS1 18%, CMS2 47%, CMS3 12%, CMS4 23%. CMS1 was the predominant subtype in right-sided primary tumours, while CMS2 was the predominant subtype in left-sided. CMS was prognostic of overall survival (OS) (P=0.008), with CMS2 associated with the best outcome and CMS1 the worst. CMS remained an independent prognostic factor in a multivariate analysis. There was a significant interaction between CMS and treatment (P-interaction=0.03), for PFS, with hazard ratios (95% CI) for CB+CBM versus C arms in CMS 1,2,3 and 4: 0.83 (0.43-1.62), 0.50 (0.33-0.76), 0.31 (0.13-0.75) and 1.24 (0.68-2.25) respectively. This exploratory study found that CMS stratified OS outcomes in metastatic CRC regardless of first-line treatment, with prognostic effects of CMS groups distinct from those previously reported in early-stage cohorts. In CMS associations with treatment, CMS2 and possibly CMS3 tumours may preferentially benefit from the addition of bevacizumab to first-line capecitabine-based chemotherapy, compared to other CMS groups. Validation of these findings in additional cohorts is warranted. This is a molecular sub-study of MAX clinical trial (NCT00294359). | en |
dc.language.iso | eng | - |
dc.title | The prognostic impact of Consensus Molecular Subtypes (CMS) and its predictive effects for bevacizumab benefit in metastatic colorectal cancer: molecular analysis of the AGITG MAX clinical trial. | en |
dc.type | Journal Article | en |
dc.identifier.journaltitle | Annals of oncology : official journal of the European Society for Medical Oncology | en |
dc.identifier.affiliation | Oncology, University Hospital Leuven, Leuven, BELGIUM | en |
dc.identifier.affiliation | Oncology, The Queen Elizabeth Hospital, Basil Hetzel Institute, University of Adelaide, Woodville, SA, AUSTRALIA | en |
dc.identifier.affiliation | Colorectal Oncogenomics Group, The University of Melbourne, Genetic Epidemiology Laboratory, Department of Pathology, Royal Melbourne Hospital, Parkville, VIC, Australia | en |
dc.identifier.affiliation | Olivia Newton-John Cancer Research Institute, Heidelberg, Victoria, Australia | en |
dc.identifier.affiliation | Bioinformatics Core Facility, Swiss Institute of Bioinformatics, LaUSAnne, SWITZERLAND | en |
dc.identifier.affiliation | NHMRC Clinical Trials Centre, University of Sydney, Sydney, NSW, AUSTRALIA | en |
dc.identifier.affiliation | Peter MacCallum Cancer Center, Melbourne, VIC, AUSTRALIA | en |
dc.identifier.affiliation | Medical Oncology, The Queen Elizabeth Hospital and University of Adelaide, Woodville, SA, AUSTRALIA | en |
dc.identifier.doi | 10.1093/annonc/mdy410 | en |
dc.type.content | Text | en |
dc.identifier.pubmedid | 30247524 | - |
dc.type.austin | Journal Article | - |
local.name.researcher | Mariadason, John M | |
item.grantfulltext | none | - |
item.openairetype | Journal Article | - |
item.languageiso639-1 | en | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
crisitem.author.dept | Olivia Newton-John Cancer Research Institute | - |
crisitem.author.dept | Olivia Newton-John Cancer Research Institute | - |
crisitem.author.dept | Olivia Newton-John Cancer Research Institute | - |
crisitem.author.dept | Medical Oncology | - |
crisitem.author.dept | Olivia Newton-John Cancer Wellness and Research Centre | - |
Appears in Collections: | Journal articles |
Items in AHRO are protected by copyright, with all rights reserved, unless otherwise indicated.